519 lines
22 KiB
Python
519 lines
22 KiB
Python
import streamlit as st
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import uuid
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import re
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from datetime import datetime
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from streamlit_agraph import agraph, Config
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from qdrant_client import models
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# Importe aus den anderen Modulen
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from ui_utils import parse_markdown_draft, build_markdown_doc, load_history_from_logs, slugify
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from ui_api import save_draft_to_vault, analyze_draft_text, send_chat_message, submit_feedback
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from ui_config import HISTORY_FILE, COLLECTION_PREFIX, GRAPH_COLORS
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# --- CALLBACKS ---
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# Diese müssen zwingend VOR dem Aufruf definiert sein.
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def switch_to_editor_callback(note_payload):
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"""
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Callback für den Edit-Button im Graphen.
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Lädt die Notiz in den Editor und setzt den Modus.
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Nutzt den 'path'-Parameter aus Qdrant als Single Source of Truth für Updates.
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"""
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# 1. Inhalt extrahieren (Fulltext oder Fallback)
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content = note_payload.get('fulltext', '')
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if not content:
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content = build_markdown_doc(note_payload, "Inhalt konnte nicht geladen werden (nur Metadaten verfügbar).")
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# 2. Single Source of Truth Bestimmung (Dateipfad)
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# Priorität 1: Der absolute Pfad aus dem Ingest-Prozess ('path')
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origin_fname = note_payload.get('path')
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# Priorität 2: 'file_path' oder 'filename' (Legacy Felder, Fallback)
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if not origin_fname:
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origin_fname = note_payload.get('file_path') or note_payload.get('filename')
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# Priorität 3: Konstruktion aus ID (Notlösung, falls Metadaten unvollständig)
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if not origin_fname and 'note_id' in note_payload:
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# Annahme: Datei heißt {note_id}.md im Vault Root
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origin_fname = f"{note_payload['note_id']}.md"
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# 3. Message in den Chat-Verlauf injecten (dient als Datencontainer für den Editor)
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# Wir fügen eine "künstliche" Assistant-Nachricht hinzu, die der Editor dann ausliest.
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st.session_state.messages.append({
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"role": "assistant",
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"intent": "INTERVIEW",
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"content": content,
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"query_id": f"edit_{note_payload['note_id']}",
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"origin_filename": origin_fname, # Pfad für Speicher-Logik
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"origin_note_id": note_payload['note_id']
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})
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# 4. Modus umschalten
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# Wir setzen den Key des Radio-Buttons im Session State
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st.session_state["sidebar_mode_selection"] = "📝 Manueller Editor"
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# --- UI RENDERER ---
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def render_sidebar():
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"""
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Rendert die Seitenleiste mit Navigation und Einstellungen.
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"""
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with st.sidebar:
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st.title("🧠 mindnet")
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st.caption("v2.6 | WP-19 Graph View")
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# Modus-Auswahl mit State-Key für programmatische Umschaltung
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if "sidebar_mode_selection" not in st.session_state:
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st.session_state["sidebar_mode_selection"] = "💬 Chat"
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mode = st.radio(
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"Modus",
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["💬 Chat", "📝 Manueller Editor", "🕸️ Graph Explorer"],
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key="sidebar_mode_selection"
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)
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st.divider()
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st.subheader("⚙️ Settings")
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top_k = st.slider("Quellen (Top-K)", 1, 10, 5)
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explain = st.toggle("Explanation Layer", True)
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st.divider()
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st.subheader("🕒 Verlauf")
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# Suchhistorie laden
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for q in load_history_from_logs(HISTORY_FILE, 8):
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if st.button(f"🔎 {q[:25]}...", key=f"hist_{q}", use_container_width=True):
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st.session_state.messages.append({"role": "user", "content": q})
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st.rerun()
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return mode, top_k, explain
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def render_draft_editor(msg):
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"""
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Der Markdown-Editor.
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Wird für neue Entwürfe UND für das Bearbeiten bestehender Notizen genutzt.
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"""
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# ID Generierung für Unique Keys
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if "query_id" not in msg or not msg["query_id"]:
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msg["query_id"] = str(uuid.uuid4())
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qid = msg["query_id"]
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key_base = f"draft_{qid}"
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# State Keys definieren
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data_meta_key = f"{key_base}_data_meta"
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data_sugg_key = f"{key_base}_data_suggestions"
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widget_body_key = f"{key_base}_widget_body"
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data_body_key = f"{key_base}_data_body"
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# --- INITIALISIERUNG ---
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if f"{key_base}_init" not in st.session_state:
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# Markdown parsen
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meta, body = parse_markdown_draft(msg["content"])
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if "type" not in meta: meta["type"] = "default"
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if "title" not in meta: meta["title"] = ""
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tags = meta.get("tags", [])
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meta["tags_str"] = ", ".join(tags) if isinstance(tags, list) else str(tags)
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# Daten in Session State schreiben
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st.session_state[data_meta_key] = meta
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st.session_state[data_sugg_key] = []
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st.session_state[data_body_key] = body.strip()
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# Widget-Werte vorbelegen
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st.session_state[f"{key_base}_wdg_title"] = meta["title"]
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st.session_state[f"{key_base}_wdg_type"] = meta["type"]
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st.session_state[f"{key_base}_wdg_tags"] = meta["tags_str"]
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# WICHTIG: Original-Pfad aus der Message übernehmen (für Update-Logik)
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st.session_state[f"{key_base}_origin_filename"] = msg.get("origin_filename")
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st.session_state[f"{key_base}_init"] = True
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# --- STATE RESURRECTION (falls Streamlit rerunt) ---
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if widget_body_key not in st.session_state and data_body_key in st.session_state:
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st.session_state[widget_body_key] = st.session_state[data_body_key]
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# --- SYNC FUNKTIONEN ---
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def _sync_meta():
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meta = st.session_state[data_meta_key]
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meta["title"] = st.session_state.get(f"{key_base}_wdg_title", "")
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meta["type"] = st.session_state.get(f"{key_base}_wdg_type", "default")
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meta["tags_str"] = st.session_state.get(f"{key_base}_wdg_tags", "")
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st.session_state[data_meta_key] = meta
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def _sync_body():
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st.session_state[data_body_key] = st.session_state[widget_body_key]
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def _insert_text(text_to_insert):
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current = st.session_state.get(widget_body_key, "")
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new_text = f"{current}\n\n{text_to_insert}"
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st.session_state[widget_body_key] = new_text
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st.session_state[data_body_key] = new_text
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def _remove_text(text_to_remove):
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current = st.session_state.get(widget_body_key, "")
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new_text = current.replace(text_to_remove, "").strip()
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st.session_state[widget_body_key] = new_text
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st.session_state[data_body_key] = new_text
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# --- LAYOUT HEADER ---
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origin_fname = st.session_state.get(f"{key_base}_origin_filename")
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if origin_fname:
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# Update Modus
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display_name = str(origin_fname).split("/")[-1] # Nur Dateiname anzeigen
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st.success(f"📂 **Datei-Modus**: `{origin_fname}`") # Voller Pfad zur Sicherheit
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st.markdown(f'<div class="draft-box" style="border-left: 5px solid #ff9f43;">', unsafe_allow_html=True)
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else:
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# Create Modus
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st.info("✨ **Erstell-Modus**: Neue Datei wird angelegt.")
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st.markdown(f'<div class="draft-box">', unsafe_allow_html=True)
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st.markdown("### Editor")
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# Metadaten-Editor
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meta_ref = st.session_state[data_meta_key]
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c1, c2 = st.columns([2, 1])
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with c1:
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st.text_input("Titel", key=f"{key_base}_wdg_title", on_change=_sync_meta)
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with c2:
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known_types = ["concept", "project", "decision", "experience", "journal", "value", "goal", "principle", "risk", "belief"]
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curr_type = st.session_state.get(f"{key_base}_wdg_type", meta_ref["type"])
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if curr_type not in known_types: known_types.append(curr_type)
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st.selectbox("Typ", known_types, key=f"{key_base}_wdg_type", on_change=_sync_meta)
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st.text_input("Tags", key=f"{key_base}_wdg_tags", on_change=_sync_meta)
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# Tabs
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tab_edit, tab_intel, tab_view = st.tabs(["✏️ Inhalt", "🧠 Intelligence", "👁️ Vorschau"])
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with tab_edit:
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st.text_area("Body", key=widget_body_key, height=600, on_change=_sync_body, label_visibility="collapsed")
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with tab_intel:
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st.info("Klicke auf 'Analysieren', um Verknüpfungen für den AKTUELLEN Text zu finden.")
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if st.button("🔍 Analyse starten", key=f"{key_base}_analyze"):
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st.session_state[data_sugg_key] = []
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text_to_analyze = st.session_state.get(widget_body_key, st.session_state.get(data_body_key, ""))
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current_doc_type = st.session_state.get(f"{key_base}_wdg_type", "concept")
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with st.spinner("Analysiere..."):
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analysis = analyze_draft_text(text_to_analyze, current_doc_type)
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if "error" in analysis:
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st.error(f"Fehler: {analysis['error']}")
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else:
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suggestions = analysis.get("suggestions", [])
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st.session_state[data_sugg_key] = suggestions
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if not suggestions: st.warning("Keine Vorschläge gefunden.")
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else: st.success(f"{len(suggestions)} Vorschläge gefunden.")
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# Vorschläge rendern
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suggestions = st.session_state[data_sugg_key]
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if suggestions:
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current_text_state = st.session_state.get(widget_body_key, "")
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for idx, sugg in enumerate(suggestions):
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link_text = sugg.get('suggested_markdown', '')
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is_inserted = link_text in current_text_state
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bg_color = "#e6fffa" if is_inserted else "#ffffff"
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border = "3px solid #28a745" if is_inserted else "3px solid #1a73e8"
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st.markdown(f"""
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<div style="border-left: {border}; background-color: {bg_color}; padding: 10px; margin-bottom: 8px; border-radius: 4px; box-shadow: 0 1px 3px rgba(0,0,0,0.1);">
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<b>{sugg.get('target_title')}</b> <small>({sugg.get('type')})</small><br>
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<i>{sugg.get('reason')}</i><br>
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<code>{link_text}</code>
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</div>
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""", unsafe_allow_html=True)
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if is_inserted:
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st.button("❌ Entfernen", key=f"del_{idx}_{key_base}", on_click=_remove_text, args=(link_text,))
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else:
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st.button("➕ Einfügen", key=f"add_{idx}_{key_base}", on_click=_insert_text, args=(link_text,))
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# Dokument für Vorschau/Save bauen
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final_tags_str = st.session_state.get(f"{key_base}_wdg_tags", "")
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final_tags = [t.strip() for t in final_tags_str.split(",") if t.strip()]
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final_meta = {
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"id": "generated_on_save",
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"type": st.session_state.get(f"{key_base}_wdg_type", "default"),
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"title": st.session_state.get(f"{key_base}_wdg_title", "").strip(),
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"status": "draft",
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"tags": final_tags
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}
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# ID behalten wenn vorhanden (Wichtig für Source of Truth)
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if "origin_note_id" in msg:
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final_meta["id"] = msg["origin_note_id"]
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final_body = st.session_state.get(widget_body_key, st.session_state[data_body_key])
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# Fallback Titel aus H1
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if not final_meta["title"]:
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h1_match = re.search(r"^#\s+(.*)$", final_body, re.MULTILINE)
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if h1_match: final_meta["title"] = h1_match.group(1).strip()
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final_doc = build_markdown_doc(final_meta, final_body)
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with tab_view:
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st.markdown('<div class="preview-box">', unsafe_allow_html=True)
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st.markdown(final_doc)
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st.markdown('</div>', unsafe_allow_html=True)
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st.markdown("---")
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# Footer Actions
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b1, b2 = st.columns([1, 1])
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with b1:
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# Label dynamisch
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save_label = "💾 Speichern (Überschreiben)" if origin_fname else "💾 Neu anlegen & Indizieren"
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if st.button(save_label, type="primary", key=f"{key_base}_save"):
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with st.spinner("Speichere im Vault..."):
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# ENTSCHEIDUNG: Update oder Neu?
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if origin_fname:
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# UPDATE: Wir nutzen den exakten Pfad aus Qdrant
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target_filename = origin_fname
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else:
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# NEU: Wir generieren einen Namen
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raw_title = final_meta.get("title", "draft")
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target_file = f"{datetime.now().strftime('%Y%m%d')}-{slugify(raw_title)[:60]}.md"
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target_filename = target_file
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# Senden an API
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result = save_draft_to_vault(final_doc, filename=target_filename)
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if "error" in result:
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st.error(f"Fehler: {result['error']}")
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else:
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st.success(f"Gespeichert: {result.get('file_path')}")
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st.balloons()
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with b2:
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if st.button("📋 Code anzeigen", key=f"{key_base}_btn_copy"):
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st.code(final_doc, language="markdown")
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st.markdown("</div>", unsafe_allow_html=True)
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def render_chat_interface(top_k, explain):
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"""
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Rendert das Chat-Interface.
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"""
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for idx, msg in enumerate(st.session_state.messages):
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with st.chat_message(msg["role"]):
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if msg["role"] == "assistant":
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intent = msg.get("intent", "UNKNOWN")
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src = msg.get("intent_source", "?")
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icon = {"EMPATHY":"❤️", "DECISION":"⚖️", "CODING":"💻", "FACT":"📚", "INTERVIEW":"📝"}.get(intent, "🧠")
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st.markdown(f'<div class="intent-badge">{icon} Intent: {intent} <span style="opacity:0.6; font-size:0.8em">({src})</span></div>', unsafe_allow_html=True)
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with st.expander("🐞 Debug Raw Payload", expanded=False):
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st.json(msg)
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if intent == "INTERVIEW":
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render_draft_editor(msg)
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else:
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st.markdown(msg["content"])
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if "sources" in msg and msg["sources"]:
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for hit in msg["sources"]:
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with st.expander(f"📄 {hit.get('note_id', '?')} ({hit.get('total_score', 0):.2f})"):
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st.markdown(f"_{hit.get('source', {}).get('text', '')[:300]}..._")
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if hit.get('explanation'):
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st.caption(f"Grund: {hit['explanation']['reasons'][0]['message']}")
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def _cb(qid=msg.get("query_id"), nid=hit.get('node_id')):
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val = st.session_state.get(f"fb_src_{qid}_{nid}")
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if val is not None: submit_feedback(qid, nid, val+1)
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st.feedback("faces", key=f"fb_src_{msg.get('query_id')}_{hit.get('node_id')}", on_change=_cb)
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if "query_id" in msg:
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qid = msg["query_id"]
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st.feedback("stars", key=f"fb_glob_{qid}", on_change=lambda: submit_feedback(qid, "generated_answer", st.session_state[f"fb_glob_{qid}"]+1))
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else:
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st.markdown(msg["content"])
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if prompt := st.chat_input("Frage Mindnet..."):
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st.session_state.messages.append({"role": "user", "content": prompt})
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st.rerun()
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if len(st.session_state.messages) > 0 and st.session_state.messages[-1]["role"] == "user":
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with st.chat_message("assistant"):
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with st.spinner("Thinking..."):
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resp = send_chat_message(st.session_state.messages[-1]["content"], top_k, explain)
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if "error" in resp:
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st.error(resp["error"])
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else:
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st.session_state.messages.append({
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"role": "assistant",
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"content": resp.get("answer"),
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"intent": resp.get("intent", "FACT"),
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"intent_source": resp.get("intent_source", "Unknown"),
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"sources": resp.get("sources", []),
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"query_id": resp.get("query_id")
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})
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st.rerun()
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def render_manual_editor():
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"""
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Wrapper für den manuellen Editor-Modus (Startet mit leerem Template).
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"""
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mock_msg = {
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"content": "---\ntype: concept\ntitle: Neue Notiz\nstatus: draft\ntags: []\n---\n# Titel\n",
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"query_id": "manual_mode_v2"
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}
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render_draft_editor(mock_msg)
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# --- GRAPH EXPLORER ---
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def render_graph_explorer(graph_service):
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st.header("🕸️ Graph Explorer")
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# Session State initialisieren
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if "graph_center_id" not in st.session_state: st.session_state.graph_center_id = None
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# Defaults speichern für Persistenz
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st.session_state.setdefault("graph_depth", 2)
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st.session_state.setdefault("graph_show_labels", True)
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# Defaults angepasst für BarnesHut (Skalierung angepasst)
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st.session_state.setdefault("graph_spacing", 150)
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st.session_state.setdefault("graph_gravity", -3000)
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col_ctrl, col_graph = st.columns([1, 4])
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with col_ctrl:
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st.subheader("Fokus")
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# Suche
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search_term = st.text_input("Suche Notiz", placeholder="Titel eingeben...")
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options = {}
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if search_term:
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hits, _ = graph_service.client.scroll(
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collection_name=f"{COLLECTION_PREFIX}_notes",
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scroll_filter=models.Filter(must=[models.FieldCondition(key="title", match=models.MatchText(text=search_term))]),
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limit=10
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)
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options = {h.payload['title']: h.payload['note_id'] for h in hits}
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if options:
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selected_title = st.selectbox("Ergebnisse:", list(options.keys()))
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if st.button("Laden", use_container_width=True):
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st.session_state.graph_center_id = options[selected_title]
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st.rerun()
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st.divider()
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# View Settings
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with st.expander("👁️ Ansicht & Layout", expanded=True):
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st.session_state.graph_depth = st.slider("Tiefe (Tier)", 1, 3, st.session_state.graph_depth)
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st.session_state.graph_show_labels = st.checkbox("Kanten-Beschriftung", st.session_state.graph_show_labels)
|
||
|
||
st.markdown("**Physik (BarnesHut)**")
|
||
# ACHTUNG: BarnesHut reagiert anders. Spring Length ist wichtig.
|
||
st.session_state.graph_spacing = st.slider("Federlänge (Abstand)", 50, 500, st.session_state.graph_spacing, help="Wie lang sollen die Verbindungen sein?")
|
||
st.session_state.graph_gravity = st.slider("Abstoßung (Gravity)", -20000, -1000, st.session_state.graph_gravity, help="Wie stark sollen sich Knoten abstoßen?")
|
||
|
||
if st.button("Reset Layout"):
|
||
st.session_state.graph_spacing = 150
|
||
st.session_state.graph_gravity = -3000
|
||
st.rerun()
|
||
|
||
st.divider()
|
||
st.caption("Legende (Top Typen)")
|
||
for k, v in list(GRAPH_COLORS.items())[:8]:
|
||
st.markdown(f"<span style='color:{v}'>●</span> {k}", unsafe_allow_html=True)
|
||
|
||
with col_graph:
|
||
center_id = st.session_state.graph_center_id
|
||
|
||
if center_id:
|
||
# Container für Action Bar OBERHALB des Graphen (Layout Fix)
|
||
action_container = st.container()
|
||
|
||
# Graph Laden
|
||
with st.spinner(f"Lade Graph..."):
|
||
# Daten laden (Cache wird genutzt)
|
||
nodes, edges = graph_service.get_ego_graph(
|
||
center_id,
|
||
depth=st.session_state.graph_depth,
|
||
show_labels=st.session_state.graph_show_labels
|
||
)
|
||
|
||
# Fetch Note Data für Button & Debug
|
||
note_data = graph_service._fetch_note_cached(center_id)
|
||
|
||
# --- ACTION BAR RENDEREN ---
|
||
with action_container:
|
||
c_act1, c_act2 = st.columns([3, 1])
|
||
with c_act1:
|
||
st.caption(f"Aktives Zentrum: **{center_id}**")
|
||
with c_act2:
|
||
if note_data:
|
||
st.button("📝 Bearbeiten",
|
||
use_container_width=True,
|
||
on_click=switch_to_editor_callback,
|
||
args=(note_data,))
|
||
else:
|
||
st.error("Daten nicht verfügbar")
|
||
|
||
# DATA INSPECTOR (Payload Debug)
|
||
with st.expander("🕵️ Data Inspector (Payload Debug)", expanded=False):
|
||
if note_data:
|
||
st.json(note_data)
|
||
if 'path' not in note_data:
|
||
st.error("ACHTUNG: Feld 'path' fehlt im Qdrant-Payload! Update-Modus wird nicht funktionieren.")
|
||
else:
|
||
st.success(f"Pfad gefunden: {note_data['path']}")
|
||
else:
|
||
st.info("Keine Daten geladen.")
|
||
|
||
if not nodes:
|
||
st.warning("Keine Daten gefunden.")
|
||
else:
|
||
# --- CONFIGURATION (BarnesHut) ---
|
||
# Height-Trick für Re-Render (da key-Parameter nicht funktioniert)
|
||
# Ändere Height minimal basierend auf Gravity
|
||
dyn_height = 800 + (abs(st.session_state.graph_gravity) % 3)
|
||
|
||
config = Config(
|
||
width=1000,
|
||
height=dyn_height,
|
||
directed=True,
|
||
physics={
|
||
"enabled": True,
|
||
# BarnesHut ist der Standard und stabilste Solver für Agraph
|
||
"solver": "barnesHut",
|
||
"barnesHut": {
|
||
"gravitationalConstant": st.session_state.graph_gravity,
|
||
"centralGravity": 0.3,
|
||
"springLength": st.session_state.graph_spacing,
|
||
"springConstant": 0.04,
|
||
"damping": 0.09,
|
||
"avoidOverlap": 0.1
|
||
},
|
||
"stabilization": {"enabled": True, "iterations": 600}
|
||
},
|
||
hierarchical=False,
|
||
nodeHighlightBehavior=True,
|
||
highlightColor="#F7A7A6",
|
||
collapsible=False
|
||
)
|
||
|
||
return_value = agraph(nodes=nodes, edges=edges, config=config)
|
||
|
||
# Interaktions-Logik
|
||
if return_value:
|
||
if return_value != center_id:
|
||
# Navigation: Neues Zentrum setzen
|
||
st.session_state.graph_center_id = return_value
|
||
st.rerun()
|
||
else:
|
||
# Klick auf das Zentrum selbst
|
||
st.toast(f"Zentrum: {return_value}")
|
||
|
||
else:
|
||
st.info("👈 Bitte wähle links eine Notiz aus.") |